Data Engineer (Analytics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build and optimize large-scale marketing data pipelines across dozens of ad networks, ensuring fast, accurate reporting and reliable signals for campaign optimization. You’ll write efficient SQL on BigQuery, design robust data models, and transform data as code with dbt (Dataform a plus), while handling PII carefully and improving pipeline monitoring, alerts, and CI/CD practices. The work directly impacts ROAS and compliance risk.

Location: Lviv, Warsaw

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Develop and run data pipelines for raw marketing data, handling large daily volumes across many ad networks and tables.
•Optimize query performance and costs in BigQuery, balancing speed with reporting correctness and freshness (1–24 hour lag).
•Build and maintain dbt transformations with testing/documentation to ensure trustworthy analytics and event signals.
•Implement and monitor event processing with alerts to catch collection/pipeline failures before they impact campaigns.
•Ensure correct handling of PII across the pipeline to reduce compliance risk and downstream errors.

Pay and Benefits

Perks:Health InsuranceGym MembershipMeal AllowanceLearning BudgetTravel Allowance

Key Requirements

•Strong SQL skills to write efficient queries at large scale (millions of rows/day), including partitioning/clustering and BigQuery query cost awareness.
•Experience with dbt for building and maintaining transformation pipelines as code, with tests and documentation (Dataform is a plus).
•Data modeling skills to design structures that can scale with new business requirements without breaking.
•Pipeline-level attention to detail, including detecting anomalies in event streams early.
•Ability to work across product, marketing, and advertising to understand events as signals (e.g., Meta, Google, TikTok) driving targeting and reporting accuracy.

Experience:Performance marketingAdvertising platforms

Skills:Attention to detailProactivityCross-functional collaborationProblem detectionMonitoring mindset

Tech Stack:SQLBigQueryDbtDataformPythonETLELTCI/CDGitHub ActionsMetaGoogleTikTok

Company Brief

SKELAR

Skelar develops cloud-native software solutions and developer tools, focusing on bespoke SaaS products and technical consultancy to help organizations build and deploy scalable applications and integrations.

Industry: Developer Tools

Website

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SKELAR

1 week ago

Data Engineer (Analytics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Lviv, Warsaw

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Develop and run data pipelines for raw marketing data, handling large daily volumes across many ad networks and tables.
•Optimize query performance and costs in BigQuery, balancing speed with reporting correctness and freshness (1–24 hour lag).
•Build and maintain dbt transformations with testing/documentation to ensure trustworthy analytics and event signals.
•Implement and monitor event processing with alerts to catch collection/pipeline failures before they impact campaigns.
•Ensure correct handling of PII across the pipeline to reduce compliance risk and downstream errors.

Pay and Benefits

Perks:Health InsuranceGym MembershipMeal AllowanceLearning BudgetTravel Allowance

Key Requirements

•Strong SQL skills to write efficient queries at large scale (millions of rows/day), including partitioning/clustering and BigQuery query cost awareness.
•Experience with dbt for building and maintaining transformation pipelines as code, with tests and documentation (Dataform is a plus).
•Data modeling skills to design structures that can scale with new business requirements without breaking.
•Pipeline-level attention to detail, including detecting anomalies in event streams early.
•Ability to work across product, marketing, and advertising to understand events as signals (e.g., Meta, Google, TikTok) driving targeting and reporting accuracy.

Experience:Performance marketingAdvertising platforms

Skills:Attention to detailProactivityCross-functional collaborationProblem detectionMonitoring mindset

Tech Stack:SQLBigQueryDbtDataformPythonETLELTCI/CDGitHub ActionsMetaGoogleTikTok

Company Brief

SKELAR

Industry: Developer Tools

Website